Journal of Optoelectronics · Laser, Volume. 34, Issue 8, 882(2023)

Ponzi scheme contract detection method based on deep residual network

GE Bin*, YUAN Zheng, REN Ping, PENG Xichen, and XIA Chenxing
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  • [in Chinese]
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    The existing detection methods for Ponzi scheme smart contract are mostly based on the operation code features and account features,but using these methods to detect initially deployed contracts is ineffective.Therefore,a Ponzi scheme contract detection method based on deep residual network was proposed.Firstly,by analyzing the characteristics of smart contract,the single word embedding coding algorithm (SWEC) was proposed.Then the contract was recoded by this algorithm.Secondly,critical operation code and its weight were extracted and the weight module of critical operation code (CO) was designed to improve the deep residual network.Finally,the experiments were carried out on public data sets,the experimental results show that the Ponzi scheme contract detection based on deep residual network had 99.7% precision and 99.9% recall.Compared with the existing methods,Ponzi scheme contract was detected more accurately.

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    GE Bin, YUAN Zheng, REN Ping, PENG Xichen, XIA Chenxing. Ponzi scheme contract detection method based on deep residual network[J]. Journal of Optoelectronics · Laser, 2023, 34(8): 882

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    Paper Information

    Received: May. 12, 2022

    Accepted: --

    Published Online: Sep. 25, 2024

    The Author Email: GE Bin (421862726@qq.com)

    DOI:10.16136/j.joel.2023.08.0348

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